{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T07:33:04Z","timestamp":1777447984716,"version":"3.51.4"},"reference-count":0,"publisher":"SCITEPRESS - Science and Technology Publications","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.5220\/0010246001130122","type":"proceedings-article","created":{"date-parts":[[2021,2,17]],"date-time":"2021-02-17T17:50:50Z","timestamp":1613584250000},"page":"113-122","source":"Crossref","is-referenced-by-count":3,"title":["Feature Map Upscaling to Improve Scale Invariance in Convolutional Neural Networks"],"prefix":"10.5220","author":[{"given":"Dinesh","family":"Kumar","sequence":"first","affiliation":[{"name":"Faculty of Science & Technology, University of the South Pacific, Laucala Bay Road, Suva, Fiji, --- Select a Country ---"}]},{"given":"Dharmendra","family":"Sharma","sequence":"first","affiliation":[{"name":"Faculty of Science & Technology, University of Canberra, 11 Kirinari Street, Canberra, ACT 2617, Australia, --- Select a Country ---"}]}],"member":"3171","event":{"name":"16th International Conference on Computer Vision Theory and Applications","location":"Online Streaming, --- Select a Country ---","start":{"date-parts":[[2021,2,8]]},"end":{"date-parts":[[2021,2,10]]}},"container-title":["Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications"],"original-title":["Feature Map Upscaling to Improve Scale Invariance in Convolutional Neural Networks"],"deposited":{"date-parts":[[2021,2,17]],"date-time":"2021-02-17T17:51:36Z","timestamp":1613584296000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scitepress.org\/DigitalLibrary\/Link.aspx?doi=10.5220\/0010246001130122"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5220\/0010246001130122","relation":{},"subject":[],"published":{"date-parts":[[2021]]}}}